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ORCIDHilal Tayara
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2020 – today
- 2024
[j43]Mir Tanveerul Hassan
, Hilal Tayara, Kil To Chong:
An integrative machine learning model for the identification of tumor T-cell antigens. Biosyst. 237: 105177 (2024)- [j42]Bilal Ahmad Mir, Hilal Tayara, Kil To Chong:
SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis. Comput. Biol. Chem. 112: 108130 (2024) - [j41]Saima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong:
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy. Comput. Biol. Medicine 168: 107724 (2024) - [j40]Palistha Shrestha, Jeevan Kandel, Hilal Tayara, Kil To Chong:
DL-SPhos: Prediction of serine phosphorylation sites using transformer language model. Comput. Biol. Medicine 169: 107925 (2024) - [j39]Waleed Alam, Hilal Tayara, Kil To Chong:
Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks. Comput. Biol. Medicine 170: 108007 (2024) - [j38]Saima Gaffar, Hilal Tayara, Kil To Chong:
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework. Comput. Biol. Medicine 174: 108438 (2024) - [j37]Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong:
AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks. Comput. Biol. Medicine 176: 108560 (2024) - [j36]Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong:
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation. Comput. Biol. Medicine 178: 108737 (2024) - [j35]Maryam, Mobeen Ur Rehman, Irfan Hussain, Hilal Tayara, Kil To Chong:
A graph neural network approach for predicting drug susceptibility in the human microbiome. Comput. Biol. Medicine 179: 108729 (2024) - [j34]Zeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, Seung Won Lee, Kil To Chong:
m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications. Comput. Biol. Medicine 182: 109087 (2024) - [j33]Pasang Sherpa, Kil To Chong, Hilal Tayara:
FvFold: A model to predict antibody Fv structure using protein language model with residual network and Rosetta minimization. Comput. Biol. Medicine 182: 109128 (2024) - [j32]Jeevan Kandel, Palistha Shrestha, Hilal Tayara, Kil To Chong:
PUResNetV2.0: a deep learning model leveraging sparse representation for improved ligand binding site prediction. J. Cheminformatics 16(1): 66 (2024) - [j31]Sadik Bhattarai, Hilal Tayara, Kil To Chong:
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models. J. Chem. Inf. Model. 64(13): 4941-4957 (2024) - 2023
- [j30]Prem Singh Bist, Hilal Tayara, Kil To Chong:
Sars-escape network for escape prediction of SARS-COV-2. Briefings Bioinform. 24(3) (2023) - [j29]Sehi Park, Mobeen Ur Rehman, Farman Ullah, Hilal Tayara, Kil To Chong:
iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data. Bioinform. 39(8) (2023) - [j28]Zeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, Kil To Chong:
ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion. Bioinform. 39(10) (2023) - [j27]Priyash Dhakal, Hilal Tayara, Kil To Chong:
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactions. Comput. Biol. Medicine 164: 107242 (2023) - [j26]Thi Tuyet Van Tran, Agung Surya Wibowo, Hilal Tayara, Kil To Chong:
Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives. J. Chem. Inf. Model. 63(9): 2628-2643 (2023) - [j25]Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong:
Recent Studies of Artificial Intelligence on In Silico Drug Absorption. J. Chem. Inf. Model. 63(20): 6198-6211 (2023) - [j24]Mobeen Ur Rehman, Hilal Tayara, Kil To Chong:
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 904-911 (2023) - 2022
- [j23]Jhabindra Khanal, Hilal Tayara, Quan Zou, Kil To Chong:
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network. Briefings Bioinform. 23(1) (2022) - [j22]Mobeen Ur Rehman, Hilal Tayara, Quan Zou, Kil To Chong:
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Bioinform. 38(16): 3885-3891 (2022) - [j21]Syed Danish Ali, Hilal Tayara, Kil To Chong:
Interpretable machine learning identification of arginine methylation sites. Comput. Biol. Medicine 147: 105767 (2022) - [j20]Syed Danish Ali, Waleed Alam, Hilal Tayara, Kil To Chong:
Identification of Functional piRNAs Using a Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1661-1669 (2022) - [j19]Zeeshan Abbas, Hilal Tayara, Kil To Chong:
ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2533-2544 (2022) - [c1]Prem Singh Bist, Hilal Tayara, Kil To Chong:
Identification Of Sars-cov-2 Viral Escape Sequences Using Escapetrans Network. ICTC 2022: 664-667 - 2021
- [j18]Arslan Siraj, Tuvshinbayar Chantsalnyam, Hilal Tayara, Kil To Chong:
RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network. IEEE Access 9: 6674-6682 (2021) - [j17]Syed Danish Ali, Jee Hong Kim, Hilal Tayara, Kil To Chong:
Prediction of RNA 5-Hydroxymethylcytosine Modifications Using Deep Learning. IEEE Access 9: 8491-8496 (2021) - [j16]Mobeen Ur Rehman, Kim Jee Hong, Hilal Tayara, Kil To Chong:
m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species. IEEE Access 9: 17779-17786 (2021) - [j15]Muhammad Shujaat, Seung Beop Lee, Hilal Tayara, Kil To Chong:
Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters. IEEE Access 9: 81485-81491 (2021) - [j14]Hilal Tayara, Ibrahim Abdelbaky, Kil To Chong:
Recent omics-based computational methods for COVID-19 drug discovery and repurposing. Briefings Bioinform. 22(6) (2021) - [j13]Jeevan Kandel, Hilal Tayara, Kil To Chong:
PUResNet: prediction of protein-ligand binding sites using deep residual neural network. J. Cheminformatics 13(1): 65 (2021) - [j12]Hilal Tayara, Kil To Chong:
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2526-2534 (2021) - 2020
- [j11]Jhabindra Khanal, Hilal Tayara, Kil To Chong:
Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network. IEEE Access 8: 58369-58376 (2020) - [j10]Waleed Alam, Syed Danish Ali, Hilal Tayara, Kil To Chong:
A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation. IEEE Access 8: 138203-138209 (2020) - [j9]Zeeshan Abbas, Hilal Tayara, Kil To Chong:
SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes. IEEE Access 8: 201450-201457 (2020) - [j8]Tuvshinbayar Chantsalnyam, Dae Yeong Lim, Hilal Tayara, Kil To Chong:
ncRDeep: Non-coding RNA classification with convolutional neural network. Comput. Biol. Chem. 88: 107364 (2020)
2010 – 2019
- 2019
- [j7]Iman Nazari, Hilal Tayara, Kil To Chong:
Branch Point Selection in RNA Splicing Using Deep Learning. IEEE Access 7: 1800-1807 (2019) - [j6]Jhabindra Khanal, Iman Nazari, Hilal Tayara, Kil To Chong:
4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network. IEEE Access 7: 145455-145461 (2019) - [j5]Abdul Wahab, Syed Danish Ali, Hilal Tayara, Kil To Chong:
iIM-CNN: Intelligent Identifier of 6mA Sites on Different Species by Using Convolution Neural Network. IEEE Access 7: 178577-178583 (2019) - 2018
- [j4]Hilal Tayara, Kim Gil Soo, Kil To Chong:
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network. IEEE Access 6: 2220-2230 (2018) - [j3]Mhaned Oubounyt, Zakaria Louadi, Hilal Tayara, Kil To Chong:
Deep Learning Models Based on Distributed Feature Representations for Alternative Splicing Prediction. IEEE Access 6: 58826-58834 (2018) - [j2]Hilal Tayara, Kil To Chong:
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network. Sensors 18(10): 3341 (2018) - 2016
- [j1]Hilal Tayara, Woon Chul Ham, Kil To Chong:
A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor. Sensors 16(12): 2139 (2016)
Coauthor Index
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